We’re looking for an experienced CRM System Administrator to manage, customize, and optimize our CRM platform in line with business goals. The ideal candidate will collaborate with cross-functional teams to improve system performance, enhance user experience, and deliver valuable insights that support Customer Support operations and business decision-making.

Responsibilities:

• Understand Customer Support operations, challenges, and goals, improving processes through CRM administration and consultation. 
• Manage and optimize CRM settings, including user permissions, workflows, custom objects, reports, dashboards, and approval processes. 
• Administer virtual phone systems, AI solutions, integrations, APIs, and third-party tools to ensure smooth cross-functional operations. 
• Analyze system and team performance data to provide operational insights and improve productivity. 
• Collaborate with teams to gather business requirements, implement solutions, and support troubleshooting, training, documentation, and data integrity.

Requirements:

• Strong experience in CRM administration, including permissions, workflows, custom architecture, and system optimization. 
• Knowledge of virtual phone systems, AI tools, APIs, integrations, and third-party platforms. 
• Advanced skills in formulas, data validation, reporting, dashboards, and data integrity management. 
• Ability to analyze business needs, improve operational workflows, and implement cross-functional solutions. 
• Experience in troubleshooting, user support, training, and documentation. 
• English level: B2+ (Upper-Intermediate/Advanced).

Key skills:

• Comfortable working in a fast-paced, changing environment with a focus on continuous process improvement. 
• Strong analytical, problem-solving, communication, and organizational skills with the ability to work independently and cross-functionally. 
• Detail-oriented and highly organized. 
• Experience configuring CRM platforms such as Salesforce, Intercom, Freshdesk, or similar; experience with self-hosted CRM systems is a plus. 
• Previous experience with CRM systems in the trading or iGaming industry is preferred. 

Benefits:

• Quarterly bonuses based on Company performance
• 24 working days of annual leave 
• Corporate events and team building activities
• Udemy Business unlimited membership & language training courses 
• Professional and personal development opportunities in a fast-growing environment

Inviting a strong Data analyst for the project in energy industry in a German company

Tasks:

• Providing the balance sheet accrual data (BilA) from Powercloud and SAP IS-U with the required structure and quality
• Development of data models/data sets to map the business logic (Snowflake/SQL Server)
• Support and testing of technical developments for automated BilA validation processes
• Consolidation of data from different systems
• Optional development and further development of Power BI reports

Qualifications:

• Advanced knowledge of SQL
• Experience with Snowflake
• Analytical thinking understanding
• Experience in the energy industry
• Knowledge of Power BI
• Knowledge in Python

Project language: German/English

Location: Europe

Looking for strong professionals for the iOS developer role to the Mobile solutions department.

About the project:

A connected pet-safety platform combining GPS geofencing, real-time location, training workflows, and multi-device management. 

The scope of work for the project: end-to-end backend on Azure, mobile application development (Xamarin + native), firmware for BLE/LTE/Wi-Fi, and the Angular admin portal.

Tech part:

The system includes a .NET cloud backend on Azure (AKS/Functions, API Gateway, IoT Hub/MQTT, Event Hub, Redis cache, SQL/Cosmos for telemetry & config, Blob for media), a rules engine for geofence/alerts, OTA update pipeline, webhook/Push/SMS notifications, analytics, and CI/CD with observability (App Insights/Prometheus-Grafana).

Mobile apps are built with Xamarin and native stacks (iOS/Android) consuming REST/GraphQL APIs and background location services.

Device firmware integrates BLE for pairing/provisioning, LTE for wide-area tracking, and Wi-Fi for home connectivity, with secure boot, DFU/OTA, and power-management. An Angular admin console provides fleet/user/subscription management, policy editing, and live device dashboards.

Requirements:

• Experience developing architectures from scratch and/or introducing enhancements to existing architecture
• Experience working in all phases of the mobile application development lifecycle.
• Proven ability to communicate difficult technical issues with sufficient clarity to internal and external stakeholders.
• Experience in developing iOS applications using Swift, with demonstrated expertise in Swift Concurrency and SwiftUI
• A strong grasp of software architecture patterns like MVP, MVVM, or MVI.
• Solid knowledge of CS fundamentals, including data structures, algorithms, and multi-threading.
• Familiarity with Agile methodologies
• Experience with Git and automation tools such as CI/CD and unit testing.
• Seasoned in creating sophisticated public-facing applications.
• Very good level of English (min. B2+).

Nice to have:

• Objective-C experience.
• TCA experience.
• Experience moving from cross-platform to native app development.
• Experience working with BLE and smart devices. (Share your examples and comments with us).
• Experience in implementing complex UI/UX in B2C apps. (Share your examples (links) in your CV).
• Experience in some of the following domains: consumer apps, fitness and health apps, hardware apps such as apps for smart wearables, etc. (Share your examples and comments with us).
• Experience working in complex environments with multiple teams and stakeholders
• Experience working in distributed teams across multiple time zones
• Experience in leading a team from a technical point of view.

We are looking for a Data Science specialist with experience in banking projects to build risk models (scoring for lending).

Key Areas of Responsibility

Risk Modeling Department:

- Full-cycle development of ensemble models, including data preparation and preprocessing, labeling, and splitting into training and testing datasets.  

- Selection and tuning of base models with an emphasis on diversity to improve prediction quality.  

- Development of machine learning models to forecast daily balances on corporate client accounts, incorporating time series analysis (weekly, monthly, quarterly) and additional factors (weekdays, holidays, tax periods, business cycles).  

- Training personalized models.  

- Application of model aggregation techniques (bagging, boosting, stacking) with optimized ensemble weighting.  

- Performance evaluation using accuracy, recall, and F1-score metrics to enhance prediction quality.  

- Deployment of models into production environments, ongoing monitoring, and regular parameter optimization.

Computer Vision Projects:

- Development and implementation of a biometric identity verification system, including document recognition and photo comparison modules.  

- Requirements analysis and system architecture design with a focus on high security and recognition accuracy standards.  

- Implementation of image processing algorithms to extract data from passports and compare with client selfie photos.

Acquisition Analytics:

- Comprehensive analysis of acquiring and cash management portfolio data, including collection and preprocessing of historical client behavior data.  

- Feature engineering reflecting transactional activity, financial indicators, and service usage patterns to identify key churn factors.  

- Building and training an ensemble prediction model optimized for the specifics of both products.  

- Implementation of client scoring system based on churn probability considering financial behavior and length of partnership.

Technologies and Tools: Python, SQL, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow/Keras, PyTorch, Random Forest, Gradient Boosting, Stacking, Pandas, NumPy, Matplotlib, Seaborn.